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Seazone case solution

Read the report on "reports/Seazone Challenge Report.pdf"

Make sure that all raw data files are in a folder in the following path of this project: "data/raw"

Data files considered in this case should have the following names:

  1. Details_Data.csv
  2. Hosts_ids_Itapema.csv
  3. Mesh_Ids_Data_Itapema.csv
  4. Price_AV_Itapema-001.csv
  5. VivaReal_Itapema.csv

Steps to install and execute this project:

  1. git clone this repository
  2. navigate to the root of this repository
  3. run "pip install -r requirements.txt"
  4. make sure that all data is in the correct folder
  5. run "python -m src.solve_case"
  6. figures will be in "reports/figures"
  7. the final PDF report is in "reports"

Project Organization

├── LICENSE
├── README.md          <- The top-level README for developers using this project.
├── data
│   ├── external       <- Data from third party sources.
│   ├── interim        <- Intermediate data that has been transformed.
│   ├── processed      <- The final, canonical data sets for modeling.
│   └── raw            <- The original, immutable data dump.
│
├── notebooks          <- Jupyter notebooks.
│
├── references         <- Explanatory materials.
│
├── reports            <- Final report.
│   └── figures        <- Figures used to analyze and create the report.
│
├── requirements.txt   <- The requirements file for reproducing the analysis environment.
│
├── src                <- Source code for use in this project.
│   ├── __init__.py    <- Makes src a Python module
│   │
│   ├── data           <- All scripts
│   │  
│   │
│   │
│   └── visualization  <- Empty
│    
│
└── 

Project based on the cookiecutter data science project template. #cookiecutterdatascience

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